Geophysical and environmental modelling
AI and machine learning are playing an increasingly important role in environmental hazards and disaster risk reduction, with these devastating events occurring much more frequently due to the effects of climate change. The development of machine learning in this field is now integral to forecasting extreme events such as floods, cyclones, earthquakes and landslides, in addition to tracking events as they occur and supporting the decision making processes on the ground.
Affiliated Depts and Partners that work in this field include the Dept of Engineering, Dept of Architecture, Dept of Earth Sciences, Dept of Computer Sciences and Technology, Mott Macdonald, BuroHappold Engineering, Max Fordham, RMS (Risk Management Solutions), WTW (Willis Towers Watson), Aviva, south pole.
To find out more about the specific research topics that our AI4ER staff and students are undertaking in this field please click on the links below.
